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"title": "Implement cloud message storage for Algolia challenge",
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"source": {
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"system": "plain",
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"id": "algolia-challenge-prep"
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}
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},
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"status": "completed",
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"startedAt": "2026-01-08T23:57:42.804Z",
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"agents": [
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{
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"name": "khaliqgant",
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"role": "lead",
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"joinedAt": "2026-01-08T23:57:42.804Z"
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}
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],
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"chapters": [
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{
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"id": "chap_ag0efa57f2sd",
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"title": "Work",
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"agentName": "default",
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"startedAt": "2026-01-08T23:57:49.778Z",
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"events": [
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{
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"ts": 1767916669779,
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"type": "decision",
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"content": "Store messages in PostgreSQL with workspace-scoped deduplication: Store messages in PostgreSQL with workspace-scoped deduplication",
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"raw": {
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"question": "Store messages in PostgreSQL with workspace-scoped deduplication",
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"chosen": "Store messages in PostgreSQL with workspace-scoped deduplication",
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"alternatives": [],
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"reasoning": "Messages need to be searchable via Algolia. Using workspace_id + original_id unique constraint prevents duplicates when daemons sync the same message multiple times."
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},
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"significance": "high"
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},
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{
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"ts": 1767916679801,
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"type": "decision",
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"content": "Plan-based retention policy with expires_at column: Plan-based retention policy with expires_at column",
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"raw": {
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"question": "Plan-based retention policy with expires_at column",
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"chosen": "Plan-based retention policy with expires_at column",
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"alternatives": [],
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"reasoning": "Free tier: 30 days, Pro: 90 days, Enterprise: unlimited. Using nullable expires_at column allows easy cleanup queries and different retention per plan."
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},
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"significance": "high"
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},
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{
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"ts": 1767916681658,
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"type": "decision",
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"content": "Sync messages during heartbeat cycle: Sync messages during heartbeat cycle",
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"raw": {
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"question": "Sync messages during heartbeat cycle",
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"chosen": "Sync messages during heartbeat cycle",
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"alternatives": [],
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"reasoning": "Daemon already sends heartbeat every 30s to cloud. Adding message sync to this cycle reuses existing infrastructure without adding new timers or connections."
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},
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"significance": "high"
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},
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{
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"ts": 1767916682582,
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"type": "decision",
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"content": "Track indexedAt for Algolia sync queue: Track indexedAt for Algolia sync queue",
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"raw": {
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"question": "Track indexedAt for Algolia sync queue",
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"chosen": "Track indexedAt for Algolia sync queue",
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"alternatives": [],
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"reasoning": "Separate indexedAt timestamp allows independent sync to Algolia. Messages can be stored in PostgreSQL first, then batch-indexed to Algolia without blocking the daemon sync."
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},
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"significance": "high"
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},
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{
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"ts": 1767916690475,
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"type": "decision",
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"content": "Use Drizzle inArray instead of raw SQL ANY: Use Drizzle inArray instead of raw SQL ANY",
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"raw": {
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"question": "Use Drizzle inArray instead of raw SQL ANY",
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"chosen": "Use Drizzle inArray instead of raw SQL ANY",
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"alternatives": [],
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"reasoning": "Initial implementation used raw SQL ANY syntax which may not work correctly with Drizzle parameterization. Fixed to use Drizzle's type-safe inArray helper for the markIndexed bulk update."
# Trajectory: Implement cloud message storage for Algolia challenge
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> **Status:** ✅ Completed
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> **Task:** algolia-challenge-prep
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> **Confidence:** 90%
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> **Started:** January 9, 2026 at 12:57 AM
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> **Completed:** January 9, 2026 at 12:58 AM
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---
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## Summary
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Added cloud message storage infrastructure for Algolia challenge. Created agent_messages table with workspace scoping, plan-based retention, and Algolia sync tracking. Extended daemon CloudSyncService to sync messages during heartbeat. Added /api/daemons/messages/sync endpoint. All 1119 tests pass.
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**Approach:** Standard approach
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---
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## Key Decisions
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### Store messages in PostgreSQL with workspace-scoped deduplication
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-**Chose:** Store messages in PostgreSQL with workspace-scoped deduplication
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-**Reasoning:** Messages need to be searchable via Algolia. Using workspace_id + original_id unique constraint prevents duplicates when daemons sync the same message multiple times.
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### Plan-based retention policy with expires_at column
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-**Chose:** Plan-based retention policy with expires_at column
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-**Reasoning:** Free tier: 30 days, Pro: 90 days, Enterprise: unlimited. Using nullable expires_at column allows easy cleanup queries and different retention per plan.
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### Sync messages during heartbeat cycle
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-**Chose:** Sync messages during heartbeat cycle
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-**Reasoning:** Daemon already sends heartbeat every 30s to cloud. Adding message sync to this cycle reuses existing infrastructure without adding new timers or connections.
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### Track indexedAt for Algolia sync queue
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-**Chose:** Track indexedAt for Algolia sync queue
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-**Reasoning:** Separate indexedAt timestamp allows independent sync to Algolia. Messages can be stored in PostgreSQL first, then batch-indexed to Algolia without blocking the daemon sync.
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### Use Drizzle inArray instead of raw SQL ANY
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-**Chose:** Use Drizzle inArray instead of raw SQL ANY
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-**Reasoning:** Initial implementation used raw SQL ANY syntax which may not work correctly with Drizzle parameterization. Fixed to use Drizzle's type-safe inArray helper for the markIndexed bulk update.
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---
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## Chapters
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### 1. Work
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*Agent: default*
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- Store messages in PostgreSQL with workspace-scoped deduplication: Store messages in PostgreSQL with workspace-scoped deduplication
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- Plan-based retention policy with expires_at column: Plan-based retention policy with expires_at column
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- Sync messages during heartbeat cycle: Sync messages during heartbeat cycle
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- Track indexedAt for Algolia sync queue: Track indexedAt for Algolia sync queue
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- Use Drizzle inArray instead of raw SQL ANY: Use Drizzle inArray instead of raw SQL ANY
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